![]() ![]() This example is based on the data linkage table that is provided here. ![]() The unit of observation for this example is the farmer, where the treatment status was randomized at the community level, and treatment take-up was monitored at the farmer level. Given below is an example of a data flow chart for a project that has three rounds of data collection. Mapping this information, and documenting it properly using data flow charts and the data linkage table is the best way to avoid a situation where the research team cannot construct the analysis data because they do not have all the datasets they need, or the datasets do not have all of the information that is required to create the analysis dataset. Even in such a case, the research team will need to include information about administrative data, treatment statuses, monitoring data etc. Data flow charts can be very simple, for example, when the analysis dataset is created by appending the baseline data with the endline data. In these cases, the research team should make one data flow chart for each analysis dataset. It is common for projects to require more than one analysis dataset, for example when running regressions on multiple units of observation. Make one data flow chart for every analysis dataset.Note - It is important to keep the following points in mind regarding data flow charts: An easy way to differentiate the two concepts is as follows - while the data linkage table just list all the datasets we have, the data flow chart maps out which datasets we will need in order to create the datasets to perform data analysis. However, until we have created the data flow chart, we cannot easily understand which datasets we need to include in the data linkage table. For instance, each starting point in the data flow chart should be a dataset which is listed in the data linkage table. Together, the two form an interdependent loop. Every original dataset that is mentioned in a data flow chart should be listed in the data linkage table.ĭata flow charts are very much related to the data linkage table.Data flow charts specify which datasets are needed to create the analysis dataset, and how they may be combined by either appending or merging datasets.The data map template consists of three components: a data linkage table, a master dataset, and data flow charts.A data map is a template designed by DIME Analytics to organize 3 main aspects of data work: data analysis, data cleaning, and data management. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |